American National Bank and Trust Company Mortgage Lending & HMDA Data, 2014

In 2014, American National Bank and Trust Company of Danville, VA reported 500 mortgage applications totaling $88.9 million, down 15% from 2013. The average application was for $177,764, and applicants reported an average income of $77,822. 78% of its applications resulted in an originated loan and 13% were denied. Its largest markets were Greensboro-High Point, NC (88), Burlington, NC (82) and Lynchburg, VA (48) (applications in parentheses).

Mortgage Company & Address American National Bank and Trust Company
628 Main Street
Danville, VA 24541
Tel #: available with data download
Federal Regulator * available with data download
Years 2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  
Total Number of Mortgage Applications 500
Total Mortgage Loan Application Amount $88,882,000
Average Mortgage Loan Application Amount $177,764
Highest Mortgage Loan Application Amount $3,495,000
Average Applicant Income $77,822
Highest Applicant Income $933,000

About this data: figures come from the Home Mortgage Disclosure Act (HMDA) records American National Bank and Trust Company filed with the FFIEC and count every application it reported (approved, denied, withdrawn or purchased), not just closed loans. Applications reported at $100 million or more are left out of these totals.

Mortgage Loan Application Totals for American National Bank and Trust Company by County in 2014

County Total Number of Mortgage Loan Applications Total Dollar Amount of Mortgage Loans Applications Average Mortgage Loan Application Amount Average Applicant Income
Alamance, North Carolina 82 $ 15,010,000 $ 183,048 $ 83,000
Guilford, North Carolina 79 $ 20,366,000 $ 257,797 $ 62,000
Pittsylvania, Virginia 65 $ 7,279,000 $ 111,984 $ 57,000
Danville, Virginia 62 $ 6,813,000 $ 109,887 $ 60,000
Halifax, Virginia 28 $ 4,127,000 $ 147,392 $ 62,000
Henry, Virginia 24 $ 4,872,000 $ 203,000 $ 46,000
Bedford, Virginia 16 $ 4,353,000 $ 272,062 $ 120,000
Lynchburg, Virginia 14 $ 2,153,000 $ 153,785 $ 90,000
Caswell, North Carolina 13 $ 1,232,000 $ 94,769 $ 59,000
Wythe, Virginia 12 $ 1,344,000 $ 112,000 $ 46,000
Campbell, Virginia 11 $ 3,529,000 $ 320,818 $ 68,000
Wake, North Carolina 8 $ 1,289,000 $ 161,125 $ 134,000
Franklin, Virginia 8 $ 1,917,000 $ 239,625 $ 67,000
Rockingham, North Carolina 7 $ 1,222,000 $ 174,571 $ 69,000
Smyth, Virginia 6 $ 504,000 $ 84,000 $ 41,000
Brunswick, North Carolina 5 $ 1,371,000 $ 274,200 $ 336,000
Horry, South Carolina 5 $ 823,000 $ 164,600 $ 254,000
Forsyth, North Carolina 4 $ 606,000 $ 151,500 $ 81,000
Person, North Carolina 4 $ 550,000 $ 137,500 $ 90,000
Appomattox, Virginia 4 $ 1,627,000 $ 406,750 $ 34,000
Martinsville, Virginia 4 $ 327,000 $ 81,750 $ 79,000
Nelson, Virginia 4 $ 345,000 $ 86,250 $ 57,000
Patrick, Virginia 4 $ 627,000 $ 156,750 $ 98,000
Durham, North Carolina 3 $ 366,000 $ 122,000 $ 249,000
Amherst, Virginia 3 $ 502,000 $ 167,333 $ 93,000
Iredell, North Carolina 2 $ 381,000 $ 190,500 $ 0
Randolph, North Carolina 2 $ 209,000 $ 104,500 $ 51,000
Mecklenburg, Virginia 2 $ 360,000 $ 180,000 $ 92,000
Montgomery, Virginia 2 $ 558,000 $ 279,000 $ 136,000
Roanoke City, Virginia 2 $ 333,000 $ 166,500 $ 55,000
Alleghany, North Carolina 1 $ 750,000 $ 750,000 $ 855,000
Edgecombe, North Carolina 1 $ 270,000 $ 270,000 $ 0
New Hanover, North Carolina 1 $ 600,000 $ 600,000 $ 271,000
Orange, North Carolina 1 $ 57,000 $ 57,000 $ 41,000
Yadkin, North Carolina 1 $ 144,000 $ 144,000 $ 0
Charleston, South Carolina 1 $ 192,000 $ 192,000 $ 119,000
Georgetown, South Carolina 1 $ 368,000 $ 368,000 $ 350,000
Knox, Tennessee 1 $ 140,000 $ 140,000 $ 221,000
Bland, Virginia 1 $ 192,000 $ 192,000 $ 96,000
Buchanan, Virginia 1 $ 94,000 $ 94,000 $ 38,000
Charlottesville, Virginia 1 $ 349,000 $ 349,000 $ 226,000
New Kent, Virginia 1 $ 211,000 $ 211,000 $ 427,000
Pulaski, Virginia 1 $ 344,000 $ 344,000 $ 97,000
Richmond City, Virginia 1 $ 115,000 $ 115,000 $ 134,000
Waynesboro, Virginia 1 $ 61,000 $ 61,000 $ 66,000

Mortgage Loan Application Detail Totals for American National Bank and Trust Company in 2014

Loan Purpose

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Home Purchase 241 $38,282,000 $158,000 $3,495,000 $74,000 $855,000
Refinancing 224 $48,297,000 $215,000 $2,600,000 $88,000 $933,000
Home Improvement 35 $2,303,000 $65,000 $1,635,000 $39,000 $180,000

Applicant Race

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
White 368 $54,423,000 $147,000 $1,635,000 $93,000 $933,000
Not applicable 83 $26,538,000 $319,000 $3,495,000 $0 $0
Black or African American 29 $4,147,000 $143,000 $1,120,000 $100,000 $656,000
Hispanic 9 $1,454,000 $161,000 $600,000 $80,000 $271,000
Not Provided 8 $1,257,000 $157,000 $380,000 $114,000 $400,000
Asian 3 $1,063,000 $354,000 $795,000 $123,000 $289,000
American Indian or Alaskan Native 0 $0 $0 $0 $0 $0
Native Hawaiian or Other Pacific Islander 0 $0 $0 $0 $0 $0

Loan Type

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Conventional (any loan other than FHA, VA, FSA, or RHS loans) 405 $77,114,000 $190,000 $3,495,000 $85,000 $933,000
FSA/RHS (Farm Service Agency or Rural Housing Service) 53 $6,064,000 $114,000 $191,000 $43,000 $84,000
VA-guaranteed (Veterans Administration) 21 $3,382,000 $161,000 $365,000 $59,000 $166,000
FHA-insured (Federal Housing Administration) 21 $2,322,000 $110,000 $194,000 $51,000 $134,000

Outcome

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Loan Originated 392 $72,824,000 $185,000 $3,495,000 $77,000 $933,000
Application Denied By Financial Institution 66 $8,884,000 $134,000 $675,000 $71,000 $355,000
Application Withdrawn By Applicant 36 $6,168,000 $171,000 $600,000 $95,000 $400,000
Application Approved But Not Accepted 5 $996,000 $199,000 $325,000 $112,000 $208,000
File Closed For Incompleteness 1 $10,000 $10,000 $10,000 $50,000 $50,000
Loan Purchased By The Institution 0 $0 $0 $0 $0 $0
Preapproval Approved but not Accepted 0 $0 $0 $0 $0 $0
Preapproval Denied by Financial Institution 0 $0 $0 $0 $0 $0

Denial Reason

Total Number of Mortgage Applications Total Dollar Amount of Mortgage Loan Applications Average Mortgage Loan Amount Highest Mortgage Loan Amount Average Applicant Income Highest Applicant Income
Credit History 22 $2,372,000 $107,000 $400,000 $77,000 $355,000
Debt-To-Income Ratio 17 $2,884,000 $169,000 $675,000 $61,000 $188,000
Collateral 13 $1,414,000 $108,000 $243,000 $80,000 $298,000
Credit Application Incomplete 4 $787,000 $196,000 $417,000 $71,000 $163,000
Other 4 $717,000 $179,000 $280,000 $73,000 $236,000
Unverifiable Information 3 $466,000 $155,000 $236,000 $60,000 $98,000
Insufficient Cash (Downpayment, Closing Cost) 2 $168,000 $84,000 $97,000 $45,000 $70,000
Employment History 1 $76,000 $76,000 $76,000 $42,000 $42,000
Mortgage Insurance Denied 0 $0 $0 $0 $0 $0

Our comprehensive HMDA mortgage statistics provide invaluable insights into American National Bank and Trust Company's 2014 lending activity. By analyzing detailed data on mortgage applications, total loan amounts, applicant incomes, loan purposes, and approval rates, industry professionals, researchers, and analysts can gain a clear understanding of this lender's role in the mortgage market.

This in-depth HMDA data allows real estate experts, financial analysts, and policymakers to track lending trends, evaluate borrower demographics, and assess American National Bank and Trust Company's mortgage approval patterns. Utilize this powerful dataset to analyze market performance, compare lending practices, and make data-driven decisions in the ever-changing mortgage industry.
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